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Author

L. Løvstakken

3 papers indexed here

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Review Open access Oct 2026

Real-time deep learning echocardiographic global longitudinal strain improves agreement with cardiac magnetic resonance feature tracking compared to a conventional workflow

Left ventricular (LV) global longitudinal strain (GLS) improves detection of systolic dysfunction and prognostic assessment compared to ejection fraction, yet conventional semi-automatic workflows are time-consuming and operator dependent. Deep learning (DL)-based GLS analyses may address these challenges, but va...

V. Holmstrøm, E. Smistad, S. Stolen et al. · 0 citations
Review Open access Sep 2026

4D Ultrafast Ultrasound: the next revolution in biomedical imaging.

Four-dimensional ultrafast ultrasound imaging is emerging as a major paradigm shift in biomedical imaging by enabling the direct visualization and quantification of dynamic physiological processes in three-dimensional space over time. This review provides a comprehensive overview of the principles, technological develo...

C. Papadacci, J. Provost, Meng-Xing Tang et al. · 0 citations
Open access Oct 2026

Deep learning-based strain echocardiography adds prognostic value in heart failure with reduced ejection fraction

Echocardiographic global longitudinal strain (GLS) and mechanical dispersion (MD) improve risk prediction in heart failure. To facilitate clinical implementation, we aimed to develop a deep learning-based method for fast, fully automated GLS and MD and validate its ability to predict ventricular arrhythmia (VA) a...

D. Melichova, J. Nyberg, T. Nguyen et al. · 0 citations

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